Applied Research Scientist

WHAT YOU’LL DO

- Train, test, and ship models that power Peec AI's recommendations — helping customers boost their visibility in AI search

- Develop algorithms that extract insights from consumer search behavior, predict which questions people are asking and which topics are coming up.

- Partner with engineering to bring your models into production

- Leverage existing data pipelines and infrastructure to run experiments and validate your research at scale

- Support the team's work on autonomous agentic systems that collect, verify, and structure information from across the web

- Work with web-scale data - building crawlers, working with clickstream data, analyzing large-scale internet signals like URLs, keywords, and user behavior

WHAT WE’RE LOOKING FOR

- A deep interest in online consumer behavior

- Strong statistical and quantitative foundations with experience in statistical modeling, hypothesis testing, causal inference, or Bayesian methods

- Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features

- Track record of taking projects from research to production, with strong problem-solving skills and comfort working with ambiguous, evolving problems

- Familiarity with NLP techniques like ranking models, text classification, embeddings, or information retrieval

- Excellent communication skills with the ability to explain complex technical concepts to stakeholders

OUR DATA SCIENCE STACK

- Languages: Python, SQL

- Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX

- Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery

- AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.

BONUS POINTS

- Contributions to open-source projects

- Deployed side/hobby projects that we can check out

- Presented research papers at top ML or AI conferences

- Having started a company before or worked at a high-growth startup

- Fluency in Typescript

WHAT WE OFFER

- Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups

- Regular team events and off-sites

- Aggressive equity compensation package

- Paid Dinner & Uber home when working late

- The most beautiful office space and work environment in Berlin